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Any Source → Any Target

Database Migration Services: Any Source, Any Target, Zero Downtime

JusDB migrates databases across every pattern — Oracle to PostgreSQL, MySQL to TiDB, on-premises to AWS/GCP/Azure, version upgrades, and cloud-to-cloud exits. We use the full migration toolkit (Debezium, gh-ost, pglogical, AWS DMS) with CDC-based live replication, parallel run validation, and a tested rollback plan before we start.

Migrating a specific engine? Oracle→PostgreSQL → MySQL migrations → MySQL→TiDB →

Migration Patterns We Handle

Every migration pattern has a different risk profile, toolchain, and cutover strategy. JusDB has executed all four — including the highest-risk heterogeneous engine replacements.

On-Premises → Cloud

Risk: Low
Common Sources
  • Oracle on bare metal
  • MySQL on VMware
  • SQL Server on Windows Server
  • PostgreSQL on Linux
Target Options
  • AWS RDS / Aurora
  • GCP Cloud SQL
  • Azure Database
  • Self-managed on EC2/GCE
Approach

Network-level replication via DMS or Debezium CDC, live cutover with < 5 minutes downtime during off-peak window.

Engine Replacement (Heterogeneous)

Risk: High
Common Sources
  • Oracle → PostgreSQL
  • MySQL → PostgreSQL
  • SQL Server → PostgreSQL
  • MySQL → TiDB
Target Options
  • PostgreSQL (any cloud)
  • TiDB (horizontal scale)
  • MariaDB
  • Aurora-compatible
Approach

Schema conversion (pgloader, AWS SCT, Ora2pg), stored procedure rewrite, application query adaptation, parallel run validation.

Version Upgrade

Risk: Medium
Common Sources
  • MySQL 5.7 → 8.0
  • PostgreSQL 12 → 16
  • MongoDB 4.x → 6.x
  • Cassandra 3 → 4
Target Options
  • Latest stable version
  • Cloud-managed version
Approach

Blue-green upgrade with parallel testing, gh-ost or pg_upgrade, incremental replica promotion. Rollback-safe.

Cloud → Cloud / Cloud Exits

Risk: Low–Medium
Common Sources
  • RDS → self-managed EC2
  • Azure SQL → AWS RDS
  • Atlas → self-hosted Mongo
Target Options
  • Any cloud or on-prem target
Approach

CDC replication maintains sync during migration window; traffic shifted via connection string swap or proxy.

The JusDB Migration Toolkit

One-size-fits-all migration tools do not exist. JusDB selects the right tool combination for your source engine, target engine, data volume, and downtime budget.

CDC & Replication

Debezium

Open-source CDC platform — captures row-level changes from MySQL, PostgreSQL, MongoDB, Oracle binlogs/WAL/oplog and streams to Kafka.

AWS DMS

Managed migration service for heterogeneous migrations (Oracle→PG, MySQL→Aurora). Good for bulk load + CDC, limited for complex schema transforms.

pglogical

Logical replication extension for PostgreSQL — enables cross-version PG replication and live cutover without pg_upgrade downtime.

Maxwell / Canal

Lightweight MySQL binlog readers — simpler than Debezium for MySQL-only CDC pipelines.

Schema Migration & Conversion

gh-ost

Online schema changes for MySQL — zero-downtime ALTER TABLE without table locks. The standard for large MySQL tables (>1B rows).

pgloader

Bulk data loading and schema conversion for MySQL→PostgreSQL, SQLite→PostgreSQL, CSV imports.

Ora2pg

Oracle to PostgreSQL migration toolkit — converts schema, stored procedures (PL/SQL→PL/pgSQL), and data.

AWS Schema Conversion Tool

Automated schema conversion for Oracle→RDS, SQL Server→Aurora. Good starting point; always requires manual refinement.

Validation & Testing

pt-table-checksum

Verifies row-level data consistency between MySQL source and target — runs without locking tables.

pg_compare

Schema and data comparison between PostgreSQL databases for migration validation.

DataDiff

Open-source table-level diff tool — works across MySQL, PostgreSQL, BigQuery, Snowflake.

Load test replay

JusDB replays production query load against the target database before cutover to validate performance parity.

Migration Risk Management

Every migration has risks. JusDB's risk framework addresses each one explicitly — before the migration starts, not during it.

RiskJusDB Mitigation
Data Loss
CDC replication with lag monitoring; dual-write period before cutover; checksum validation post-migration.
Extended Downtime
Zero-downtime migrations using CDC + atomic cutover. Most migrations achieve < 5 minutes application downtime.
Application Compatibility
SQL dialect analysis before migration; query rewrite catalogue; parallel run period with application traffic split.
Performance Regression
Load test on target with production query sample before cutover; query plan comparison; index audit on target.
Rollback Failure
JusDB defines and tests a rollback plan before the migration starts — including reverse replication from target back to source.

How a JusDB Migration Works

1

Discovery

Inventory source schema, row counts, data types, stored procedures, and application queries. Identify incompatibilities before a single row moves.

2

Design

Schema conversion plan, CDC pipeline design, cutover window design, rollback plan. Written runbook before work starts.

3

Migrate & Validate

Bulk data load + CDC lag catch-up. Parallel run period: validate data integrity (checksums), query correctness, and performance on target.

4

Cutover

Atomic cutover with < 5 min downtime. Application connection string swap. Source kept in read-only sync for rollback window (typically 48–72 hours).

FAQ

Plan your migration before you start it

JusDB audits your source database, designs the migration architecture, builds the rollback plan, and executes the migration — any source, any target, any cloud.